State-of-the-art

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Theme: Template copy/paste but do not delete

Introduction

Briefly introduce your thematic focus and its significance in the field of speech technology.

Article summaries

  • Article summaries and analyses: Each article receives a subsection including a summary (reference to RQ and hypothesis), critical analysis, and discuss its relevance to your theme.

APA Citation of an article

  • Summary:
  • RQ:
  • Hypothesis:
  • Conclusion:
  • Critical observations:
  • Relevance:

APA Citation of an article

  • Summary:
  • RQ:
  • Hypothesis:
  • Conclusion:
  • Critical observations:
  • Relevance:

Synthesis

Synthesis: Conclude with a section that synthesizes the key findings across the articles, highlighting any emerging trends, debates, or future research directions.

Contributors

Contributors: A list of contributors by contribution

  • Article Jones et al. 2023: YOUR NAME
  • Article XXX: YOUR NAME
  • Introduction: All
  • Synthesis: All


Language-specific Text-To-Speech

Introduction

Briefly introduce your thematic focus and its significance in the field of speech technology.

Article summaries

  • Article summaries and analyses: Each article receives a subsection including a summary (reference to RQ and hypothesis), critical analysis, and discuss its relevance to your theme.

APA Citation of an article

  • Summary:
  • RQ:
  • Hypothesis:
  • Conclusion:
  • Critical observations:
  • Relevance:

APA Citation of an article

  • Summary:
  • RQ:
  • Hypothesis:
  • Conclusion:
  • Critical observations:
  • Relevance:

Synthesis

Synthesis: Conclude with a section that synthesizes the key findings across the articles, highlighting any emerging trends, debates, or future research directions.

Contributors

Contributors: A list of contributors by contribution

  • Article Jones et al. 2023: YOUR NAME
  • Article XXX: YOUR NAME
  • Introduction: All
  • Synthesis: All

Theme: Non-Language-specific Text-To-Speech

Introduction

Briefly introduce your thematic focus and its significance in the field of speech technology.

Article summaries

  • Article summaries and analyses: Each article receives a subsection including a summary (reference to RQ and hypothesis), critical analysis, and discuss its relevance to your theme.

APA Citation of an article

  • Summary:
  • RQ:
  • Hypothesis:
  • Conclusion:
  • Critical observations:
  • Relevance:

APA Citation of NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

  • Summary: NaturalSpeech proposes a system for converting text to speech (TTS) that achieves human-level quality. It leverages a variational autoencoder (VAE) to bridge the gap between text and speech waveforms.
  • RQ (Research Question): Can a TTS system achieve speech quality indistinguishable from humans?
  • Hypothesis: By incorporating a VAE and specific techniques to improve the model's understanding of text and speech features, NaturalSpeech can generate speech indistinguishable from humans.
  • Conclusion: The paper argues that NaturalSpeech achieves human-level speech quality based on statistical measures (MOS and CMOS) in human evaluations.
  • Critical Observations: The evaluation relies on subjective human ratings, which might be influenced by factors beyond speech quality.The research focuses on a single benchmark dataset, limiting generalizability.The paper doesn't explore how NaturalSpeech performs on diverse speaking styles or accents.
  • Relevance: This is related to my study because it provides a definition of human-level quality, and this particular model has achieved the highest Mean Opinion Score (MOS) recorded thus far. Hence, I am considering using this model as a basis for my study.

Synthesis

Synthesis: Conclude with a section that synthesizes the key findings across the articles, highlighting any emerging trends, debates, or future research directions.

Contributors

Contributors: A list of contributors by contribution

  • Article Jones et al. 2023: YOUR NAME
  • Article XXX: YOUR NAME
  • Article NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality: Yi Lei
  • Introduction: All
  • Synthesis: All